Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 2.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
Moonshot AI
Kimi K2 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
7 months newer

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek R1 Distill Llama 70B

Kimi K2-Instruct-0905
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

Kimi K2-Instruct-0905

DeepSeek R1 Distill Llama 70B

Kimi K2-Instruct-0905

DeepSeek R1 Distill Llama 70B

Kimi K2-Instruct-0905